Winter foraging patterns of moose were analyzed with 3 ordination methods, including correspondence analysis (CA), detrended correspondence analysis (DCA) and DCA with standardization in sample (DCA_std), using diet composition data of moose, in January of 2009 and January of 2010, at Erkehe forest farm of Dazhanhe wetland nature reserve in the Lesser Khingan Mountains. Procrustes analysis was used to compare effects of the 3 ordination methods. The results showed that axes 1 and 2 of all the three ordination methods could explain most variance of all variables with CA, DCA  and DCA_std  indicating 79.27%, 66.65% and 68.22% respectively. On axes 1, the methods could distinguish coniferous and deciduous trees while on axes 2, coniferous and other plant taxa except deciduous trees could be distinguished. Though all the three methods could reveal feeding pattern of ungulates, only DCA_std lacked apparent arc effects after graph visualizations. Procrustes analysis demonstrated that sum of displacement squares is the largest between DCA_std and CA, and DCA_std has the most unapparent arch effect, which in this case means performing data standardization before typical DCA could effectively eliminate the “arch effect”. Therefore, for diet composition data composed of food abundance, data standardization before typical DCA is necessary and might eliminate arch effect better. Meanwhile, standardization in samples would make ordination results more ecologically explicit.